2016
DOI: 10.1090/bull/1551
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Geometric, algebraic, and analytic descendants of Nash isometric embedding theorems

Abstract: Abstract. Is there anything interesting left in isometric embeddings after the problem had been solved by John Nash? We do not venture a definite answer, but we outline the boundary of our knowledge and indicate conjectural directions one may pursue further.Our presentation is by no means comprehensive. The terrain of isometric embeddings and the fields surrounding this terrain are vast and craggy with valleys separated by ridges of unreachable mountains; people cultivating their personal gardens in these "val… Show more

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Cited by 34 publications
(42 citation statements)
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References 69 publications
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“…On the regularity side the best result, due to Jacobowitz [47], requires metrics of class C 2,α , α > 0. It is not known if the result can be extended to C 2 metrics; see discussion in [31] and [18]. 6 I understand the h-principle here, loosely, as high flexibility of the space of solutions to a system of partial differential equations underlying a geometric or a physical problem.…”
Section: Isometric Imbeddings (Immersions)mentioning
confidence: 99%
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“…On the regularity side the best result, due to Jacobowitz [47], requires metrics of class C 2,α , α > 0. It is not known if the result can be extended to C 2 metrics; see discussion in [31] and [18]. 6 I understand the h-principle here, loosely, as high flexibility of the space of solutions to a system of partial differential equations underlying a geometric or a physical problem.…”
Section: Isometric Imbeddings (Immersions)mentioning
confidence: 99%
“…This high flexibility is particularly striking, as is the case of Nash's theorem, when it is due to limited regularity rather than indeterminacy of the system. See Gromov [31] and [32] for a precise and more inclusive understanding. 7 The result, at least in so far as it provides existence of smooth embeddings to high-dimensional spaces, was highly expected even though it required an analyst of the class of Nash to deal with the intrinsic difficulties of the problem.…”
Section: Isometric Imbeddings (Immersions)mentioning
confidence: 99%
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